Diffusion Models papers, 2023–2026

Key findings

• Diffusion Models went from 660 papers in 2023 to 2,691 in 2026, roughly 4.1x in three years.
• NeurIPS publishes the most Diffusion Models work: 2,202 papers from 2023 to 2026, 32% of the four-venue total.
• The fastest-growing overlap is with Applications · chemistry physics and earth sciences: papers tagged with both rose from 14 in 2023 to 163 in 2026.
• Among the 11 topics under Deep Learning, it ranks #1 by 2026 paper count; the fastest grower in the group, Deep learning · foundation models, is up 2.5x versus 4.1x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026$\mathbf{D^{3}S^{2}}$: Diffusion-Guided Dataset Distillation for Semantic Segmentation
• ICML 2026“Do Diffusion Models Dream of Electric Planes?” Discrete and Continuous Simulation-Based Inference for Aircraft Design
• ICLR 2026$\alpha$-DPO: Robust Preference Alignment for Diffusion Models via $\alpha$ Divergence
• CVPR 20262ndMatch Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching
• NeurIPS 2025$\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation
• ICML 2025A First-order Generative Bilevel Optimization Framework for Diffusion Models
• ICLR 2025$\text{I}^2\text{AM}$: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
• CVPR 20253DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement
• NeurIPS 2024$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation
• ICML 2024A Dense Reward View on Aligning Text-to-Image Diffusion with Preference
• ICLR 2024$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
• CVPR 2024D^4: Dataset Distillation via Disentangled Diffusion Model
• NeurIPS 20233D molecule generation by denoising voxel grids
• ICML 2023A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification
• ICLR 2023(Certified!!) Adversarial Robustness for Free!
• CVPR 20233D Neural Field Generation Using Triplane Diffusion
• NeurIPS 2026$\text{PartConcepts}$: A Unified Mechanism for Fine-Grained Part Localization and Generation
• ICML 2026$\sigma$: Sigmoid Modulation for Ultra High Resolution Diffusion
• ICLR 2026$\textit{MADFormer}$: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation
• CVPR 20263D-LATTE Latent Space 3D Editing from Textual Instructions

All Diffusion Models papers

661 papers, page 11 of 14

501. NeurIPS 2026Robust Diffusion Models via Divergence-Induced Weighted Denoising
502. NeurIPS 2026Robust Flow Matching under Target Corruption and Label Noise
503. NeurIPS 2026Robust Graph Diffusion Model
504. NeurIPS 2026Robust Inference-Time Steering of Protein Diffusion Models via Embedding Optimization
505. NeurIPS 2026Rotations on Latent Hyperspheres: a Geometry-Aware Guiding Framework for Diffusion Models
506. NeurIPS 2026RotVLA: Rotational Latent Action for Vision-Language-Action Model
507. NeurIPS 2026RxDiff: Discrete Diffusion for Medication Recommendation with Inference-Time Safety Control
508. NeurIPS 2026S$^2$-RL: Sample-Set Dual Reinforcement Learning for Generative Semantic Segmentation Dataset Distillation
509. NeurIPS 2026Safe Few-Step Generation via Velocity Editing
510. NeurIPS 2026Safe Score Matching: Diffusion Policies with Hamilton-Jacobi Reachability for Online Safe Reinforcement Learning
511. NeurIPS 2026Safety Reconstructed: Generative Modeling via Masked Diffusion Builds Strong Safety Guardrails
512. NeurIPS 2026SARA: Step-Adaptive Rank Adjustment for Diffusion Inference Acceleration
513. NeurIPS 2026Scale Where It Matters: Training-Free Localized Scaling for Diffusion Models
514. NeurIPS 2026scShapeBench: Discovering geometry from high dimensional scRNAseq data
515. NeurIPS 2026SCULPT: Advancing Masked Discrete Diffusion for High-Resolution Image Synthesis.
516. NeurIPS 2026SDFlow: Similarity-Driven Flow Matching for Time Series Generation
517. NeurIPS 2026Search-Augmented Masked Diffusion Models for Constrained Generation
518. NeurIPS 2026Secure Seed-Based Multi-bit Watermarking for Diffusion Models from First Principles
519. NeurIPS 2026Seed-Your-Motion: Householder Orthogonal Noise for Motion-Controllable Video Diffusion Models
520. NeurIPS 2026Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning
521. NeurIPS 2026SEGA: Spectral-Energy Guided Attention for Resolution Extrapolation in Diffusion Transformers
522. NeurIPS 2026Self-Cleaning Diffusion Models
523. NeurIPS 2026SemanticDialect: Semantic-Aware Mixed-Format Quantization for Video Diffusion Transformers
524. NeurIPS 2026SemISP: Semantic-Consistent Diffusion for Cross-Camera RAW-to-sRGB Generation
525. NeurIPS 2026SeoulMMOD: A Large-Scale Multimodal Origin-Destination Flow Benchmark
526. NeurIPS 2026Show Me What You Don’t Know: Efficient Sampling from Invariant Sets for Model Validation
527. NeurIPS 2026SierpinskiCam: Camera-Controlled Video Retaking with Sierpinski Triangle Pattern Cues
528. NeurIPS 2026SIGMA: A Sigmoid-Gated Sampler for Test-Time Scaling in Diffusion Language Models
529. NeurIPS 2026SiliciclasticReservoirs: A Million-Reservoir Dataset and Flow-Matching Foundation Model for 3D Siliciclastic Reservoir Generation
530. NeurIPS 2026SimSD: Simple Speculative Decoding in Diffusion Language Models
531. NeurIPS 2026Simulation-free Unbalanced Dynamic Optimal Transport with General Growth Penalty
532. NeurIPS 2026Single Shot HDR Recovery via a Video Diffusion Prior
533. NeurIPS 2026SkipSR: Faster Super-Resolution with Token Skipping
534. NeurIPS 2026Smoothed Score Queries and the Complexity of Sampling
535. NeurIPS 2026Space Group Conditional Flow Matching
536. NeurIPS 2026Sparse Biological Features Reveal Early Functional Commitment in Diffusion Protein Language Models
537. NeurIPS 2026Sparse blind deconvolution via thresholded Wirtinger flow
538. NeurIPS 2026Sparsely Supervised Diffusion
539. NeurIPS 2026Spatially-Grounded Long Video Generation with Self Geometry Forcing
540. NeurIPS 2026Spectral Adaptive Repositioning for Flow-Based Single-Cell Perturbation Modeling
541. NeurIPS 2026Spectral Progressive Diffusion for Efficient Image and Video Generation
542. NeurIPS 2026Splatting the Invisible: Geometry and Appearance Scene Completion from Sparse Views
543. NeurIPS 2026SplineFlow: Flow Matching for Dynamical Systems with B-Spline Interpolants
544. NeurIPS 2026ST-DiffEye: Diffusion-based Continuous Gaze Generation via Joint Scanpath-Trajectory Modeling
545. NeurIPS 2026Stability and Diversity of Networked Self-Consuming Generative Ecosystems
546. NeurIPS 2026StableAvatar: Ultra-Long Audio-Driven Avatar Video Generation
547. NeurIPS 2026StaDy: Factorizing the World into Static and Dynamic via Likelihood Matching
548. NeurIPS 2026StainNFT: Curriculum-Gated Multi-Reward Post-Training for Pathology-Faithful Virtual Staining
549. NeurIPS 2026State Augmented Flows
550. NeurIPS 2026Stay Fair! Ensuring Group Fairness in Diffusion Models Across Guidance Scales

FAQ

How many Diffusion Models papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

6,900 in total: 660 in 2023, 1,471 in 2024, 2,078 in 2025, 2,691 in 2026.

How many Diffusion Models papers are at NeurIPS 2026?

NeurIPS 2026 has 661 Diffusion Models papers, versus 694 the year before.

How many Diffusion Models papers are at ICLR 2026?

ICLR 2026 has 694 Diffusion Models papers, versus 487 the year before.

How many Diffusion Models papers are at ICML 2026?

ICML 2026 has 728 Diffusion Models papers, versus 346 the year before.

How many Diffusion Models papers are at CVPR 2026?

CVPR 2026 has 608 Diffusion Models papers, versus 551 the year before.

Which conference publishes the most Diffusion Models papers?

NeurIPS, with 2,202 papers from 2023 to 2026.